{"schemaVersion":"jobsearcher.job.v1","id":"050b3ba7613b9a1e41905d51","url":"https://jobsearcher.com/jobs/050b3ba7613b9a1e41905d51","canonicalUrl":"https://jobsearcher.com/jobs/050b3ba7613b9a1e41905d51","title":"Data Engineer","description":"Data Engineer Opportunity At KiwibotKiwibot is at the forefront of robotic delivery solutions, transforming urban logistics with autonomous technology. Our mission is to make last-mile delivery efficient, sustainable, and accessible. We are a data-driven company, and our Data Team is crucial to our success, enabling intelligent decision-making, optimizing robot performance, and supporting our rapid growth.\r\nWe are seeking a highly skilled and motivated Data Engineer to join our dynamic Data Team. This critical role will be instrumental in designing, developing, and maintaining our robust data architecture and pipelines, ensuring data quality, and providing essential data support for our AI and Robotics initiatives. The ideal candidate will be an end-to-end data professional, capable of leading complex projects, collaborating with cross-functional teams, and upholding the highest standards of data governance and security.\r\nKey Responsibilities:Data Pipeline Development & Management:Design, develop, and maintain scalable, reliable, and efficient ETL/ELT pipelines for batch and real-time data processing (e.g., MQTT/Kafka data ingestion).\r\nManage and optimize our data warehousing solutions, primarily Google BigQuery, ensuring efficient data storage, querying, and cost-effectiveness.\r\nImplement and maintain data quality assertions across all data pipelines to ensure data integrity from source to consumption.\r\nDevelop and integrate new data sources into our existing data ecosystem.\r\nTroubleshoot and resolve data pipeline issues, ensuring minimal disruption to data availability.Data Support:Collaborate closely with company teams to understand their data needs and develop tailored data solutions.\r\nDesign and implement data workflows to support machine learning workflows.\r\nContribute to the development of data-driven insights that improve robot autonomy and performance.Data Architecture & Infrastructure:Contribute to the design and evolution of our overall data architecture, ensuring scalability, performance, and maintainability.\r\nImplement and adhere to best practices for data modeling, schema design, and data governance.\r\nWork with cloud infrastructure (GCP preferred) to deploy and manage data services.\r\nKnowledge of spatial data wrangling and best practices for warehousing and consumption.Monitoring, Reporting & Dashboards:Develop and maintain monitoring solutions for data pipeline health and performance.\r\nEnsure data consistency and accuracy in reporting tools.Team Collaboration & Leadership:Collaborate effectively with cross-functional teams to gather requirements and deliver data solutions.\r\nMentor junior team members and contribute to a culture of continuous learning and knowledge sharing within the data team.\r\nTake ownership of projects from conception to deployment, ensuring timely and high-quality deliverables.Technical Skills & Qualifications:\r\nRequired:Strong proficiency in Python for data engineering and scripting.\r\nExtensive experience with SQL and relational databases (PostgreSQL preferred).\r\nProven expertise with Google Cloud Platform (GCP) services, especially BigQuery, Cloud Storage, Cloud Functions.\r\nExperience designing, building, and maintaining robust ETL/ELT data pipelines.\r\nFamiliarity with data orchestration tools (e.g., Apache Airflow).\r\nExperience with real-time data processing technologies (e.g., Kafka, MQTT).\r\nUnderstanding of data modeling techniques (e.g., dimensional modeling, Kimball).\r\nFamiliarity with version control systems (Git/GitHub).Plus:Exposure to AI/ML data pipelines and MLOps principles.\r\nKnowledge of AI Agents for internal product development.\r\nFamiliarity with containerization technologies (Docker, Kubernetes).Exposure to companies KPIs and OKRs among other performance metrics.","company":"Robot","rawCompany":"robot","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-04-09T08:30:26.416Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Engineer","description":"Data Engineer Opportunity At KiwibotKiwibot is at the forefront of robotic delivery solutions, transforming urban logistics with autonomous technology. Our mission is to make last-mile delivery efficient, sustainable, and accessible. We are a data-driven company, and our Data Team is crucial to our success, enabling intelligent decision-making, optimizing robot performance, and supporting our rapid growth.\r\nWe are seeking a highly skilled and motivated Data Engineer to join our dynamic Data Team. This critical role will be instrumental in designing, developing, and maintaining our robust data architecture and pipelines, ensuring data quality, and providing essential data support for our AI and Robotics initiatives. The ideal candidate will be an end-to-end data professional, capable of leading complex projects, collaborating with cross-functional teams, and upholding the highest standards of data governance and security.\r\nKey Responsibilities:Data Pipeline Development & Management:Design, develop, and maintain scalable, reliable, and efficient ETL/ELT pipelines for batch and real-time data processing (e.g., MQTT/Kafka data ingestion).\r\nManage and optimize our data warehousing solutions, primarily Google BigQuery, ensuring efficient data storage, querying, and cost-effectiveness.\r\nImplement and maintain data quality assertions across all data pipelines to ensure data integrity from source to consumption.\r\nDevelop and integrate new data sources into our existing data ecosystem.\r\nTroubleshoot and resolve data pipeline issues, ensuring minimal disruption to data availability.Data Support:Collaborate closely with company teams to understand their data needs and develop tailored data solutions.\r\nDesign and implement data workflows to support machine learning workflows.\r\nContribute to the development of data-driven insights that improve robot autonomy and performance.Data Architecture & Infrastructure:Contribute to the design and evolution of our overall data architecture, ensuring scalability, performance, and maintainability.\r\nImplement and adhere to best practices for data modeling, schema design, and data governance.\r\nWork with cloud infrastructure (GCP preferred) to deploy and manage data services.\r\nKnowledge of spatial data wrangling and best practices for warehousing and consumption.Monitoring, Reporting & Dashboards:Develop and maintain monitoring solutions for data pipeline health and performance.\r\nEnsure data consistency and accuracy in reporting tools.Team Collaboration & Leadership:Collaborate effectively with cross-functional teams to gather requirements and deliver data solutions.\r\nMentor junior team members and contribute to a culture of continuous learning and knowledge sharing within the data team.\r\nTake ownership of projects from conception to deployment, ensuring timely and high-quality deliverables.Technical Skills & Qualifications:\r\nRequired:Strong proficiency in Python for data engineering and scripting.\r\nExtensive experience with SQL and relational databases (PostgreSQL preferred).\r\nProven expertise with Google Cloud Platform (GCP) services, especially BigQuery, Cloud Storage, Cloud Functions.\r\nExperience designing, building, and maintaining robust ETL/ELT data pipelines.\r\nFamiliarity with data orchestration tools (e.g., Apache Airflow).\r\nExperience with real-time data processing technologies (e.g., Kafka, MQTT).\r\nUnderstanding of data modeling techniques (e.g., dimensional modeling, Kimball).\r\nFamiliarity with version control systems (Git/GitHub).Plus:Exposure to AI/ML data pipelines and MLOps principles.\r\nKnowledge of AI Agents for internal product development.\r\nFamiliarity with containerization technologies (Docker, Kubernetes).Exposure to companies KPIs and OKRs among other performance metrics.","datePosted":"2026-04-09T08:30:26.416Z","dateModified":"2026-04-09T08:30:26.416Z","hiringOrganization":{"@type":"Organization","name":"Robot","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"050b3ba7613b9a1e41905d51"},"url":"https://jobsearcher.com/jobs/050b3ba7613b9a1e41905d51"}}